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Tesla’s biggest rival in China: an in-depth look at the $4,200 Wuling HongGuang Mini EV

An assembly line worker at the Wuling plant. He is putting the finishing touches on the HongGuang Mini EV here. (Credit: YouTube | Gweilo 60)

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Tesla’s biggest rival in China is the Wuling HongGuang Mini EV that starts at around $4,200. Information regarding this small but impressive electric car that is a part of an SAIC, General Motors, and Wuling joint venture is vague and usually hard to come by. However, a recent video revealed several new details about the one car that has managed to outsell Tesla for the past five months.

The HongGuang Mini EV: A Quick Introduction

First delivered in July 2020, the Wuling HongGuan Mini EV is manufactured in Lizhou, Guangxi, China, and is available in two variants: one equips a 9.2 kWh battery and the other a 13.8 kWh battery. Capable of a 62 MPH top speed and only around 75 and 110 miles of range per charge, the vehicle’s base model is available for a respectable $4,200. However, a top price of around $5,600 will give you a fully-loaded version of the car complete with air conditioning and power windows, two features that are available in most cars as a standard option. This car, however, is far from standard and is an economical EV made for short trips, tight finances, and efficiency. It’s no Tesla, but it did secure over 119,250 total sales in 2020 alone, making it the second best-selling EV in the Chinese market, trailing the Tesla Model 3.

2021 has proven to be a different story, at least so far. The HongGuang Mini EV has commanded the Chinese electric vehicle sector in 2021, selling just shy of 57,000 units through February and holding a commanding lead over the second-place Model 3, which has accumulated 27,531 total sales so far this year. The affordability of the HongGuang Mini EV is proving to be a disruptor. Although it doesn’t pack the punch or performance of the Model 3, people continue to purchase the car because of its impressive price tag.

Production of the HongGuang Mini EV

As previously mentioned, the Mini EV is produced in Lizhou, Guangxi, at a small but extremely efficient facility. A new car rolls off the line every minute, and the vehicle only takes 4 hours to produce from start to finish, according to YouTuber Gwelio 60who recently toured the factory to have an inside look at the car.

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An assembly line worker at the Wuling plant. He is putting the finishing touches on the HongGuang Mini EV here. (Credit: YouTube | Gweilo 60)

There are not many parts to the car, and it is a relatively simple machine. The battery and some other basic parts that make up a car are really the only things that go under the body and chassis itself. Anything that could be considered a “luxury” is not included in the vehicle’s most basic models. It is really a car to get from point A to point B with as few issues or bells and whistles as possible.

(Credit: YouTube | Gweilo 60)

The vehicle itself is an employee at the plant. In fact, several of them are. Wuling has several HongGuang Mini EVs that haul materials, parts, and other things across the campus of the production facility completely autonomously. The cars operate under their own guidance and can sense when to stop and when to accelerate back onto their path. Gweilo 60 showed an example of how safe they are in the video by crossing the street while a HongGuang Mini EV approached. The car successfully stopped, waited for Gweilo to cross the street, and began navigating once again.

The Interior: Simple, small, and smooth

The bells and whistles are not present in this vehicle. A small dash screen and a simple radio, along with HVAC ventilation, make up the entirety of the dashboard. It is comfortable, small, sleek, and smooth, and it is just enough to keep someone comfortable during their short drive. It isn’t much, but with the low range, it’s not like someone needs excessive entertainment or features. You get what you pay for.

(Credit: YouTube | Gweilo 60)

The ride is smooth, zippy, and comfortable, according to the short review from Gweilo. It won’t go over 62 MPH, but it’s another gas car off the road, something that is always a positive. It has good suspension, it handles well, and it is a comfortable ride for any occupants, he says.

The Bottom Line: Is the Wuling HongGuang Mini EV a real “threat” to Tesla?

No, it probably isn’t a threat to Tesla because Tesla’s cars and the Wuling HongGuang Mini EV simply are not in the same realm. Comparing the car to the Model 3 is like comparing the Model 3 to the Rivian R1T: prices, purpose, and functionality are all different, and they are two cars that shouldn’t be mentioned in the same sentence. Many Tesla enthusiasts have called the Mini EV a “golf cart” because of its size and price point, and really that isn’t far off. However, the Mini EV is undoubtedly a popular vehicle, and the sales figures show that. Is it a legitimate threat to Tesla? Probably not. At least, it doesn’t seem that way. They’re just not comparable.

Tesla to sell zero cars in China by 2030, Morgan Stanley’s Jonas says

That isn’t to say that what Wuling has accomplished with this small but mighty EV isn’t impressive. The sales figures alone are incredible, and it is certainly a great indication that China is ready to buy EVs. However, it would be interesting to see if the Wuling-GM-SAIC partnership would be willing or would plan for a more competitive, luxurious, and expensive EV that would drive competition to the max in the Chinese market. China is becoming a hotbed for EVs, and the Wuling HongGuang Mini EV is driving EV sales through the roof.

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Watch Gweilo 60’s full video regarding the Wuling HongGuang Mini EV below.

Joey has been a journalist covering electric mobility at TESLARATI since August 2019. In his spare time, Joey is playing golf, watching MMA, or cheering on any of his favorite sports teams, including the Baltimore Ravens and Orioles, Miami Heat, Washington Capitals, and Penn State Nittany Lions. You can get in touch with joey at joey@teslarati.com. He is also on X @KlenderJoey. If you're looking for great Tesla accessories, check out shop.teslarati.com

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Tesla urges New Jersey owners to oppose new bill that could block Robotaxi

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Credit: Grok

Tesla has launched a direct campaign targeting its customers in New Jersey, sending emails that warn of pending legislation that could effectively block true driverless technology in the state.

The email focuses on Senate Bill S.1677 and Assembly Bill A.3968, measures intended to create a three-year autonomous vehicle pilot program but laden with requirements that Tesla argues make unsupervised Robotaxis impossible.

According to the email, the bills impose “restrictions so severe that true driverless deployment would remain illegal.” Specific hurdles include mandates for human safety drivers during operations, multimillion-dollar insurance minimums, reportedly $5 million, and thresholds like 100,000 miles of demonstrated safe autonomous driving before any driverless approval.

Tesla contends these are arbitrary barriers that ignore real-world performance data and favor entrenched competitors over innovative technologies like its Full Self-Driving (FSD) system.

The push comes as Tesla has started expanding Robotaxi operations in states like Texas, where unsupervised vehicles are already providing rides in several cities. New Jersey, by contrast, risks falling behind. The company highlights in the email communication that more than 94 percent of serious crashes result from human error, meaning impairment, distraction, or fatigue. These are all problems that Robotaxis eliminate entirely.

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In 2025, New Jersey recorded 582 traffic deaths, underscoring the human cost of delayed adoption.

Tesla’s outreach stresses the transformative potential of robotaxis. For families, they could offer safer school runs without drowsy or distracted drivers. For seniors and people with disabilities, robotaxis promise independence and reliable mobility.

In areas with limited public transit, they could deliver affordable, on-demand transportation, reducing congestion, emissions, and overall transportation costs. Economically, the company warns that restrictive rules could cost New Jersey jobs, innovation investment, and billions in potential growth as autonomous ride-hailing scales elsewhere.

Supporters of the legislation, including Sen. Andrew Zwicker, describe the pilot as a cautious framework with strong safety oversight, including incident reporting, expert task forces, and restrictions in sensitive zones like school areas. They view it as balancing innovation with public protection.

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Tesla and pro-AV advocates counter that the bill lacks technology neutrality, creates insurmountable entry barriers for commercial deployment, and prioritizes process over outcomes — effectively functioning as a de facto ban on services like Robotaxi.

This latest clash echoes Tesla’s past battles in New Jersey over direct vehicle sales. The email directs owners to Tesla’s advocacy platform, where they can send customized messages to legislators calling for amendments: outcome-based safety standards, open competition, and clear pathways for fully driverless commercial operations.

As hearings approach, Tesla’s campaign frames the issue as a choice between protecting the status quo and embracing life-saving progress. With robotaxi technology already proving itself in permissive states, New Jersey owners are being asked to ensure their state doesn’t lock out the future of transportation.

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Tesla’s Navigation Nightmare: Why the easiest part of FSD might be the hardest

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Credit: TESLARATI

Turn-by-turn navigation is not new technology.

For over two decades, drivers have relied on Garmin, TomTom, and later smartphone apps like Google Maps and Waze to receive precise, reliable directions. These systems have guided millions safely through unfamiliar cities, highways, and backroads with remarkable effectiveness. They handle real-time traffic, construction detours, and complex intersections with minimal fuss.

Yet Tesla, the company that promised revolutionary Full Self-Driving (FSD), continues to struggle with this foundational capability. As FSD (Supervised) v14.3.4 has started rolling out to cars this week, navigation remains its glaring Achilles’ heel, undermining the entire autonomous vision.

Tesla Summon got insanely good in FSD v14.3.2 — Navigation? Not so much

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Tesla’s FSD excels in many driving behaviors—smooth acceleration, confident lane changes in ideal conditions, and responsive handling of visible obstacles. However, when it comes to following a route accurately, the system falters repeatedly.

Owners report wrong turns, missed exits, inefficient routing through local roads instead of highways, phantom speed limit errors, and even directing vehicles to building rear entrances. Interventions for navigation issues often outnumber those for core driving maneuvers. Tesla has begun surveying owners specifically about these errors, acknowledging the problem after years of complaints.

Navigation is perhaps my biggest complaint when it comes to FSD, because sometimes, we do know better. Some of us have been living in our areas for our entire lives, but even those who have not have years or even decades of experience driving on local roads. We might know a little better about routing.

But the navigation mistakes are more than just FSD potentially taking a slightly different route that may or may not save you a few minutes. Sometimes, they’re genuinely mind-boggling.

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This isn’t just annoying; it cascades into broader failures. A flawed route plan confuses the AI’s decision-making, leading to hesitant behavior, unnecessary disengagements, or dangerous maneuvers like attempting impossible U-turns or ignoring clear ramps. In a system meant to operate with minimal supervision, unreliable navigation erodes trust.

More often than not, false or plain incorrect navigation is what causes me to interrupt FSD operation. Unfortunately, I believe the latest FSD version is the worst example of it, and it leads me to believe that Tesla might be making some changes; they’ve just made them in the wrong direction.

It makes you wonder: Why is a company that has done so much with the progress of FSD and autonomy struggling so much with navigation, something that is not new and has been around a long time?

Multiple Data Sources

First, Tesla’s navigation relies on a fragile patchwork of multiple data sources—Google Maps, TomTom, OpenStreetMap, Valhalla, and its own fleet-derived data—stitched together rather than a single authoritative map. When these conflict on lane geometry, road status, or turn details, the system hesitates or chooses incorrectly.

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Traditional GPS providers maintain centralized, regularly validated databases with professional curation and rapid updates. Tesla’s hybrid approach, while innovative in crowdsourcing, introduces inconsistencies that a purely vision-based or end-to-end AI approach may not easily reconcile in real time.

Persistent Learning

FSD seems to struggle with persistent learning from driver interventions.

Unlike consumer apps that quickly adapt to repeated corrections or user preferences (e.g., avoiding certain routes or remembering habitual detours), Tesla’s FSD often fails to internalize fixes on the same trip or across similar scenarios. Owners note making the same manual override multiple times without the routing engine updating its behavior meaningfully.

This stems from the neural architecture prioritizing real-time perception and control over long-term route memory and personalization, making navigation feel rigid and “opinionated” compared to the adaptive logic in Waze or Google Maps.

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I noticed that when I asked Grok to try and get me home a certain way (a way that FSD routinely took in the past because it was the most efficient), it had to place a waypoint between my location at the time and my house. When I went to edit the waypoint out, as Grok had placed it for a way to get FSD to get off the highway at the right exit, it was stumped again, rerouted, and took a longer way home.

Reasoning, Scaling, and Intuition

Third, scaling navigation for unsupervised or robotaxi ambitions requires not just accuracy but adaptability and user-like reasoning. Current FSD often defaults to single routes that ignore driver preferences or real-world nuances like time-of-day traffic patterns. It fails to match the intuitive, context-aware planning that traditional systems have refined over the years.

Resolving navigation is critical for several reasons. Practically, it is the backbone of any autonomous journey: without trustworthy routing, the car cannot reliably reach destinations, rendering FSD useless for robotaxis or hands-free commutes. Safety depends on it—mismatched plans create hesitation in merges or intersections, increasing accident risk.

Economically, Tesla’s valuation and future hinge on FSD delivering unsupervised driving; persistent navigation flaws delay regulatory approval and erode consumer confidence. For owners who paid premiums for FSD, these issues represent unfulfilled promises. While it is unlikely Tesla will lose too many customers due to bad navigation, some will be frustrated with the constant need for human input.

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Tesla has achieved miracles in electric vehicles and battery tech. Mastering turn-by-turn—technology Garmin nailed in the early 2000s—should not be this hard. By investing in tighter data integration, faster learning loops from interventions, and more intuitive routing algorithms, Tesla could close this gap.

Until then, FSD’s navigation struggles highlight a humbling truth: even the most ambitious innovator must sometimes master the basics before conquering the future.

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Tesla Cybertruck driver gets pickup seized for ‘legitimate concerns’ in UK

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A Tesla Cybertruck driver in the United Kingdom had their all-electric pickup seized by local police in the Greater Manchester area after the department cited “legitimate concerns.”

Last Thursday, police saw the pickup on the roads and decided to pull the driver over. Greater Manchester Police said:

“Whilst this may seem trivial to some, legitimate concerns exist around the safety of other road users or pedestrians if they were involved in a collision with the Cybertruck.”

The Cybertruck in question was, according to the BBC, registered and insured abroad and was confiscated. The driver, who is a UK resident, was reported.

The Greater Manchester Police Department then added:

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“The Tesla Cybertruck is not road-legal in the UK and does not hold a certificate of conformity.”

The Cybertruck cannot be legally driven in the UK because it has no UK Type Approval for operation in the country. This is due to some safety concerns, which are related to its angular shape and design. The stainless steel exoskeleton has sharp edges and projections that violate UK/EU rules on pedestrian protection.

Tesla has considered creating what it referred to as an “international version” that would be approved for operation in Europe. However, there has been no real movement on that front by the company, as it has been focused on the Robotaxi rollout primarily.

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